Spencer Markowitz
When Perfect Isn’t Optimal: Rethinking Matched Filtering in Radar
Status: Not yet available - Stay tuned!Matched filtering is often introduced as the gold standard for radar detection, the optimal solution when the signal is known and the noise is white and Gaussian. However, in many real-world scenarios, matched filtering can become more of a constraint than a solution, such as when strong targets hide the returns of weaker targets. Enter, mismatched filtering.
In this workshop, participants will gain hands-on experience with designing and evaluating their own mismatched filters. Through prepared MATLAB coding examples and in-person explanations, participants will learn how filter design parameters impact detection performance in challenging scenarios. We’ll focus on quantifying the benefits and limitations of certain designs and utilize powerful visualization tools to help in decision making.
Attendees will learn many different strategies in this workshop, from choosing the right window/taper to finding optimal solutions with custom constraints. Throughout all of this, we will make sure to play close attention to the costs of each design decision to make sure our solution remains robust to the challenges of the field.